code: def test_leaky_rectlin_mixed(backend_default):
      slope = 0.2
      inputs = np.array([[4, 0], [-2, 9]])
      outputs = np.array([[4, 0], [-2 * slope, 9]])
      compare_tensors(Rectlin(slope=slope), inputs, outputs, tol=1e-7)
  
imports: from math import tanh
  import numpy
  from neon import NervanaObject
  from neon.transforms import Identity, Rectlin, Softmax, Tanh, Logistic, Sign, PixelwiseSoftmax
  from utils import allclose_with_out
label_desc: Use image node_id 12 for calling a global function with example usage: test_leaky_rectlin_mixed(backend_default) without return types